BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

117 related articles for article (PubMed ID: 38768006)

  • 1. A Robust Semi-Supervised Broad Learning System Guided by Ensemble-Based Self-Training.
    Guo J; Chen CLP
    IEEE Trans Cybern; 2024 May; PP():. PubMed ID: 38768006
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An Incremental-Self-Training-Guided Semi-Supervised Broad Learning System.
    Guo J; Liu Z; Chen CLP
    IEEE Trans Neural Netw Learn Syst; 2024 Jun; PP():. PubMed ID: 38896512
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
    Chaitanya K; Erdil E; Karani N; Konukoglu E
    Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An empirical study of ensemble-based semi-supervised learning approaches for imbalanced splice site datasets.
    Stanescu A; Caragea D
    BMC Syst Biol; 2015; 9 Suppl 5(Suppl 5):S1. PubMed ID: 26356316
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Robust Semi-Supervised Traffic Sign Recognition via Self-Training and Weakly-Supervised Learning.
    Nartey OT; Yang G; Asare SK; Wu J; Frempong LN
    Sensors (Basel); 2020 May; 20(9):. PubMed ID: 32397197
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Pseudo-Labeling Optimization Based Ensemble Semi-Supervised Soft Sensor in the Process Industry.
    Li Y; Jin H; Dong S; Yang B; Chen X
    Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960564
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Graph-Based Self-Training for Semi-Supervised Deep Similarity Learning.
    Wang Y; Huang Y; Wang Q; Zhao C; Zhang Z; Chen J
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112285
    [TBL] [Abstract][Full Text] [Related]  

  • 8. MDT: semi-supervised medical image segmentation with mixup-decoupling training.
    Long J; Ren Y; Yang C; Ren P; Zeng Z
    Phys Med Biol; 2024 Mar; 69(6):. PubMed ID: 38324897
    [No Abstract]   [Full Text] [Related]  

  • 9. Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation.
    Huang J; Vong CM; Chen CLP; Zhou Y
    IEEE Trans Neural Netw Learn Syst; 2023 Dec; 34(12):10240-10253. PubMed ID: 35436203
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Semi-supervised skin cancer diagnosis based on self-feedback threshold focal learning.
    Yuan W; Du Z; Han S
    Discov Oncol; 2024 May; 15(1):180. PubMed ID: 38776027
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Robust Incremental Broad Learning System for Data Streams of Uncertain Scale.
    Zhong L; Chen CLP; Guo J; Zhang T
    IEEE Trans Neural Netw Learn Syst; 2024 May; PP():. PubMed ID: 38758620
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation.
    Xiao Z; Su Y; Deng Z; Zhang W
    Comput Methods Programs Biomed; 2022 Nov; 226():107099. PubMed ID: 36116398
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
    Enguehard J; O'Halloran P; Gholipour A
    IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images.
    Wang X; Tang F; Chen H; Cheung CY; Heng PA
    Med Image Anal; 2023 Jan; 83():102673. PubMed ID: 36403310
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification.
    Wang X; Chen H; Xiang H; Lin H; Lin X; Heng PA
    Med Image Anal; 2021 May; 70():102010. PubMed ID: 33677262
    [TBL] [Abstract][Full Text] [Related]  

  • 16. HPFG: semi-supervised medical image segmentation framework based on hybrid pseudo-label and feature-guiding.
    Li F; Jiang A; Li M; Xiao C; Ji W
    Med Biol Eng Comput; 2024 Feb; 62(2):405-421. PubMed ID: 37875739
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Semi-Supervised Stacked Autoencoder Using the Pseudo Label for Classification Tasks.
    Lai J; Wang X; Xiang Q; Quan W; Song Y
    Entropy (Basel); 2023 Aug; 25(9):. PubMed ID: 37761573
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The student-teacher framework guided by self-training and consistency regularization for semi-supervised medical image segmentation.
    Li B; Xu Y; Wang Y; Li L; Zhang B
    PLoS One; 2024; 19(4):e0300039. PubMed ID: 38648206
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Co-Labeling for Multi-View Weakly Labeled Learning.
    Xu X; Li W; Xu D; Tsang IW
    IEEE Trans Pattern Anal Mach Intell; 2016 Jun; 38(6):1113-25. PubMed ID: 26353366
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Semi-supervised few-shot learning approach for plant diseases recognition.
    Li Y; Chao X
    Plant Methods; 2021 Jun; 17(1):68. PubMed ID: 34176505
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.